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FootyScout · Football scouting and analytics

Based on available StatsBomb 2023/24 Bundesliga event data.

Player profile

Arthur Augusto de Matos Soares

Bayer Leverkusen · Left Wing Back · DEF

Matches observed4
Pass attempts108
Reliable sample

Actual completion

87.0%

94 completed passes

Pass difficulty

85.0%

How difficult a pass was to complete.

Actual vs. expected passing

+2.0 pp

+2.2 completions vs model expectation

Actual pass completion compared with the model's expected completion.

Player intelligence

Position profile

DEF context · Each percentile is an empirical rank among eligible players in the same broad position group. Percentiles are not ratings.

102030405060708090Under-pressure pass rateProgressive pass rateLong-pass rateProgressive carry rateActual vs. expected passingCarrying impact / 100 carries
Style
Performance
0–100 empirical percentiles among eligible same-position peers.

Style

Tendencies describe what a player attempts; higher is not automatically better.

Pass difficulty

85.0%

32nd percentile among DEF players

n = 23 eligible peers · sample 108

Under-pressure pass rate

13.9%

73rd percentile among DEF players

n = 23 eligible peers · sample 108

Progressive pass rate

19.4%

95th percentile among DEF players

n = 23 eligible peers · sample 108

Long-pass rate

11.1%

23rd percentile among DEF players

n = 23 eligible peers · sample 108

Average forward distance

-2.3 units

0th percentile among DEF players

n = 23 eligible peers · sample 108

Positive forward distance / 100 passes

454.1 units

14th percentile among DEF players

n = 23 eligible peers · sample 108

Final-third entries / 100 passes

3.704

9th percentile among DEF players

n = 23 eligible peers · sample 108

Carry share of actions

47.7%

95th percentile among DEF players

n = 94 eligible peers · sample 199

Progressive carry rate

11.6%

94th percentile among DEF players

n = 87 eligible peers · sample 95

Progressive action rate

16.1%

85th percentile among DEF players

n = 94 eligible peers · sample 199

Under-pressure action rate

19.6%

71st percentile among DEF players

n = 94 eligible peers · sample 199

Shots / observed match

0.50 / match

Unavailable among DEF players

n = 4 eligible peers · sample 2

requires 20 shots

xG / shot

3.0%

Unavailable among DEF players

n = 4 eligible peers · sample 2

requires 20 shots

Performance

Observed execution or model-derived output relative to opportunities.

Actual vs. expected passing

+2.0 pp

82nd percentile among DEF players

n = 23 eligible peers · sample 108

Under-pressure completion above expected

+1.3 pp

Unavailable among DEF players

n = 13 eligible peers · sample 15

requires 20 pressure passes

Progressive completion above expected

+7.5 pp

75th percentile among DEF players

n = 17 eligible peers · sample 21

Long-pass completion above expected

+4.3 pp

Unavailable among DEF players

n = 21 eligible peers · sample 12

requires 20 long passes

Goals above expected

-0.059

Unavailable among DEF players

n = 4 eligible peers · sample 2

requires 20 shots

Overall impact / 100 actions

0.126

95th percentile among DEF players

n = 94 eligible peers · sample 199

Weak split-half stability in the current 34-match product cohort.

Passing impact / 100 passes

0.093

94th percentile among DEF players

n = 94 eligible peers · sample 104

Weak split-half stability in the current 34-match product cohort.

Carrying impact / 100 carries

0.162

87th percentile among DEF players

n = 87 eligible peers · sample 95

Moderate split-half stability; descriptive rather than latent ability.

Progressive-action impact / 100 actions

0.150

92nd percentile among DEF players

n = 94 eligible peers · sample 199

Weak split-half stability in the current 34-match product cohort.

Under-pressure impact / 100 actions

0.085

95th percentile among DEF players

n = 94 eligible peers · sample 199

Weak split-half stability in the current 34-match product cohort.

Playing style

Safe Circulator

Position-relative style among eligible DEF players.

Style separation0.442

↓Progressive-pass rate (lower)

↑Pass difficulty (higher)

↓Positive forward distance / 100 passes (lower)

↓Long-pass rate (lower)

Pass difficulty+0.20 z
Under-pressure pass rate+0.29 z
Progressive-pass rate+0.44 z
Long-pass rate-0.72 z
Positive forward distance / 100 passes-1.74 z
Carry share of actions+1.36 z

Bars are z-scores relative to eligible positional peers, not percentiles or ratings. Distance-based style separation, not a probability. Smaller values mean the player lies nearer the boundary between the two archetypes.

Leverkusen Role Fit

DEF role

How closely a player's playing style matches this role. Compared with the observed role of Leverkusen's other DEF contributors.

Role distance · lower is closer0.659
CloserFarther

Strongest alignment

  • Long Pass Rate
  • Pressure Pass Rate
  • Expected Completion Rate

Largest difference

Progressive Pass Rate

higher sampleObserved across 4 matchesRole: 34 matches · 8 contributors

Role Fit measures how closely a player's observed playing style resembles Bayer Leverkusen's observed positional-role style. It does not predict transfer success or future performance.

Expected Goals

Non-penalty shooting

Goals above expected is descriptive for this observed sample, not a definitive finishing-skill rating.

Limited sample

Shots

2

2 matches observed

Goals

0

Total xG

0.1

Goals above expected

-0.1

xG / shot

0.0

0.0% goals / shot

Limited sample: fewer than 20 non-penalty shots.

Campos visualization

Shot map

Non-penalty xG is encoded by marker size and color. Preserved penalties have no modeled xG.

Shots2
Goals0
xG0.06
xG0.00 – 1.00
Green outline = GoalNormal outline = Non-goal

Attacking impact

Impact of passes and carries

Measures how much each pass or carry changed the expected attacking value of a possession. Positive values improved the attack; negative values reduced it.

Reliable sample

Overall impact / 100 actions

+0.126

Passing impact / 100 passes

+0.093

Carrying impact / 100 carries

+0.162

Progressive-action impact / 100 actions

+0.150

Under-pressure impact / 100 actions

+0.085

199 actions · 104 passes · 95 carries · 57.3% increased attacking value

Campos visualization

Carry value map

Exact StatsBomb carry start/end locations. Green increases modeled possession value; coral decreases it.

Situational execution

Under pressure

15 attempts

Limited sample
Actual
80.0%
Pass difficulty
78.7%
Actual vs. expected passing
+1.3 pp

Limited sample — interpret this split cautiously.

Progressive passing

21 attempts

Reliable sample
Actual
57.1%
Pass difficulty
49.6%
Actual vs. expected passing
+7.5 pp

Long passing

12 attempts

Limited sample
Actual
75.0%
Pass difficulty
70.7%
Actual vs. expected passing

Progression profile

Progressive-pass rate

19.4%

Pressure-pass rate

13.9%

Average forward distance

-2.3 m

Positive forward distance / 100

454.1 m

Final-third entries / 100

3.7

Campos visualization

Pass map

Attacking left to right. Switch between xPass execution difficulty and possession attacking impact.

Showing 1–108 of 108 passes

Pass subset

CompletedIncompleteStronger line = greater pass difficultyThicker line = progressive or under pressure
Pass difficulty
73.8%
Outcome
Completed
Attacking impact
0.0001
Value before
0.0109
Value after
0.0111
Length
8.8 m
Context
Standard
Event clocks are not retained in the pass API.

Similar playing styles

Style similarity compares position-relative playing style across passing and carrying tendencies. Scores are not ability ratings.

100 means identical observed profiles; 50 is about the median same-position playing style match. Not a probability.

#1 · Same position group

Aurélio Gabriel Ulineia Buta

Eintracht Frankfurt · Right Wing Back

Style similarity

74.6 / 100

Expected Completion RatePressure Pass RateLong Pass Rate

Sample support: Limited · 2 limiting matches

Observed: 4 vs 2 matches

#2 · Same position group

Jeremie Frimpong

Bayer Leverkusen · Right Wing Back

Style similarity

73.8 / 100

Pressure Pass RateProgressive Pass Rate
+4.3 pp

Limited sample — interpret this split cautiously.

Positive Forward Distance Per 100 Passes

Sample support: Higher · 4 limiting matches

Observed: 4 vs 31 matches

#3 · Same position group

Noussair Mazraoui

Bayern Munich · Right Wing Back

Style similarity

73.1 / 100

Expected Completion RatePositive Forward Distance Per 100 PassesPressure Pass Rate

Sample support: Limited · 2 limiting matches

Observed: 4 vs 2 matches

#4 · Same position group

Alejandro Grimaldo García

Bayer Leverkusen · Left Wing Back

Style similarity

69.9 / 100

Positive Forward Distance Per 100 PassesLong Pass RateProgressive Pass Rate

Sample support: Higher · 4 limiting matches

Observed: 4 vs 33 matches

#5 · Same position group

Josip Stanišić

Bayer Leverkusen · Right Center Back

Style similarity

69.8 / 100

Long Pass RatePressure Pass RateExpected Completion Rate

Sample support: Higher · 4 limiting matches

Observed: 4 vs 20 matches

#6 · Same position group

Lucas Silva Melo

Eintracht Frankfurt · Right Back

Style similarity

68.9 / 100

Pressure Pass RateExpected Completion RateLong Pass Rate

Sample support: Limited · 2 limiting matches

Observed: 4 vs 2 matches

Sample support uses the lower observed-match count in each pair. Lower coverage means a measured profile may vary more with additional matches; it never changes the style similarity or ranking.